Channels & Cycles: A Tribute to J. M. Hurst is an examination and explanation of cyclic price movements and how they can be applied to trading and investing. Summarizes the main points of the work of J. M. Hurst and explains each aspect thoroughly. Authored by a prominent British financial writer, whose earlier work, Channel Analysis, was eagerly sought by U. S. investors, but was not readily available in this country.
Channels & Cycles: A Tribute to J. M. Hurst updates, expands, and revises the concepts in Channel Analysis. Explains how price channels may be drawn around price action and combined with cyclical analysis to determine effective buying and selling points. Shows and explains methods that make it possible to predict some turning points months before they are due to occur.
Introduction (From Author):
Until 1979 my career followed the established path of university scientists and teachers the world overwriting papers, teaching students, presenting my work at conferences and visiting other workers in my field of scientific research. Then I was invited to spend a year as visiting scientist with the Food and Drug Administration in Washington, D.C., bringing my family with me.
Since I had an interest in the stock market, mainly from the scientific aspect of using digital filters to market data, I naturally paid a visit to the local library to see what was available on the subject of investment. I was astonished to find almost a whole wall of books devoted to this topic, at a time when there would have been probably none, or at best a couple of books on this subject back home in our local library in England.
Imagine my delight and pleasure when after about three months I came across J.M. Hurst’s book The Profit Magic of Stock Transaction Timing (published by Prentice Hall). Unknown· to me, Hurst had been putting into practice for years methods of analysis of market data that I had only recently begun to look at. Hurst was a mathematical analyst with an engineering background and he employed techniques familiar to me as a scientist where I frequently analyzed the noisy output of various instruments. He also, in his book, satisfied the slight reservations I had as a scientist about the predictability of the stock market by providing a great deal of evidence in support of the author’s theories about cycles and channels in stock price movement.
If I had any criticism of the book at all, it was simply that the average investor, picking it up and quickly scanning through its pages, would perhaps feel that it was too mathematically orientated, and replace it on the shelf, because it contained terms such as Fourier Analysis, modulated side-bands, etc. The investor would then be missing an important contribution to the subject of technical analysis. However, a reader who took the trouble to study the book in depth would grasp that Hurst’s’ work was based on five main concepts. These were:
- 1. Maximum profits are obtained from shorter trades
- 2. Some 23% of price motion is based on cyclic movements in nature
- 3. These cycles are additive
- 4. The cycles can be seen clearly if envelopes are constructed around the price movement
- 5. The ideal buying point is when several such cyclic components are reaching their low points
Now, some 20 years later, Hurst’s pioneering work is as valid as ever, and his concepts form a solid foundation for profitable investment. To my regret, I never had the opportunity of meeting Hurst, but I can truly say that he was responsible for changing my life, because once I returned to England I used his basic principles as a starting point for my own line of research into price movements. This soon became my full time occupation. Of course, I have the advantage over Hurst of state-of the-art computers and vast amounts of price data from markets all around the world on stocks, commodities, currencies and futures. However, these markets all have one thing in common-the methods described in this book apply to all of them, as will be seen by the examples used to illustrate the various chapters.
In Channels & Cycles: A Tribute to J. M. Hurst, I have employed the general principle of putting forward a concept and then applying it to artificial data before using it on real market data. The reason for this is quite simple predictive techniques must be shown to work with totaIJy predictable data, i.e. artificial data, so that the accuracy of the predictions can be checked. It is only then that these same techniques can be applied to less predictable market data.
A great deal of space has also been taken by a full discussion of moving averages and their properties. Moving averages are not only simple to calculate, they are also extremely powerful tools, but unfortunately the majority of investors have no idea of how to harness this power. It is to be hoped that the treatment given here will enable readers to avoid the mistakes made by using them incorrectly. Finally, although the majority of investors have access to computers and programs to carry out various calculations and plot charts, computers are not absolutely essential for channel analysis, and the investor with only a pencil, paper and calculator can still achieve a great improvement in performance.
Contents:
- Chapter 1. Money Management
- Chapter 2. The Trading Interval
- Chapter 3. How Prices Move
- Chapter 4. Trends within Trends
- Chapter 5. Graphical Channel Analysis The Basics
- Chapter 6. Graphical Channel Analysis Applications
- Chapter 7. Numerical Analysis the Basics
- Chapter 8. Numerical Analysis-More about Cycles
- Chapter 9. Applications of Numerical Analysis
- Chapter 10. Channel Turning Points
Channels and Cycles: A Tribute to J. M. Hurst By Brian J. Millard PDF
Emily Rodriguez (verified owner) –
I can’t beleive the “other review” I just read. I was flabergasted! This book is one of the best of it’s type that I have read. I am not the expert and still consider myself a “student”, but I’ve been succesfully trading commodities for over a year and have amassed a small library of books of which this is the best. Contrary to the other review I just read, I found this book to be very easy to read and exceptionally stimulating.
Mr. Millard has taken what J.M. Hurst started and developed it to new levels. In this book he has expanded & built upon the principles put forth by J.M. Hurst. He has since built upon this foundation with his own work on the subject of cycle & channel analysis.
This book contains a wealth of information which can be utilized right away. Millard shows how to use simple paper & pencil methods and also implimentation of numerical methods which are quite sophisticated.
My entire trading methodology has been modified because of this book. To me, Milllards writing is clear, concise, and right to the point. I am not a math wiz and I did have to re-read one section of one chapter a few times for clarity, but this was not difficult once given a little thought, which is well worth the time and effort.
Millard goes into a great deal of detail with regard to trading and shorter cycles. He quite clearly demonstrates that shorter duration trades are more profitable, hence, his comments and conclusions are in harmony and agreement with J.M. Hurst and his book “Profit Magic od Stock Transaction Timing” (also a great book). In fact, Millard puts forth a strong and compelling case for his recommended short duration trades of between 50 – 100 days. As far as I can tell, J.M. Hurst’s short duration trades were in the range of 36 – 42 days. Both seem to agree completely if you ask me.
If you are a fan of cycles you will really like this book. You will find valuable information from a notable British investment writer whos has published many other works (and software) as well. Do search under “Brian Millard” and see for yourself.
A great book. By all means – get it. Get J.M. Hurst’s book too. They are a great combination!
Piper Curry (verified owner) –
Written for statisticians, not for the average investor who is not into researching the mathematical basis for the ideas sketched in this book. The presented ideas and concepts seem to be restricted in application to certain cases conformable to cyclical and amplitudinal stock price behavior. The concept of projecting the application into the future as a price determinate is not only abstruse but arcane. Would make a good basis for the development of a computerized trading system now that number crunching unburdens the concept.
Henry Randolph (verified owner) –
I got this book because I thought it would be easier to understand than the book “The Profit Magic of Stock Market Timing” by J.M. Hurst. Indeed this was the case. However, the author stops in mid stream and when you reach the end of the book, he asks you to subscribe to him if you want to know more. This book is really an advertisement for the author’s service, so not something I feel I should be paying for.
Briggs Moore (verified owner) –
I am in the middle of reading both JM Hurst’s original work on market cycles, as well as Brian Millard’s modern treatment of cycle analysis. I’ve finished this one today.
This book is for the technician or trader who wishes to think for himself, and not rely on over-used, and often misapplied mathematical techniques.
Millard instructs you on how to use mathematical tools to extract cycles from stock price data, predict price and time zones, and determine the optimum time period to trade in.
Through simple logic, Millard demonstrates the optimum time period to trade in is between 50 and 100 days. If you are a diehard daytrading scapler, you probably won’t like the conclusions he comes to in this book.
Through the simple use of moving averages and envelope channels, you can learn to pick out the low risk points to place directional trades. I’ve experimented with the techniques for a few months now, and they are very useful.
What is fascinating, is that the trading rules developed from cycles often match up very well with classical chart pattern trading rules.
The author does an excellent job of explaining the mathematical properties of moving averages, and how the use of moving averages in cycle analysis differs from their use in conventional trend following systems.
Some reservations about the techniques: 1. Cycle analysis uses arithmatic scaling for measuring the magnitued of cycles. This strikes me as invalid on time frames greater than weekly, due to the logarithmic price changes over long periods of time.
Point and figure chartists have similar problems–dealing with changes in price level. It is going to be very hard to draw valid channels on some large cap tech stock that declined from 100 to 10 during the bear market. Having said that, for shorter time periods, these methods are fine, and the techniques to measure wavelength (time targets) are still valid, even on monthly data.
2. The author makes absolutely no use of volume in the analysis. I suspect incorporating volume into the analysis of cycles would improve the results.
3. The author makes it appear that stock price data is just like any other data. With this, I disagree. There is a psychological element that is missing from this type of analysis. Cycles are not the complete answer to trading, but they are a very good start.